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53 lines
1.5 KiB
Python
53 lines
1.5 KiB
Python
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from tester import *
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from PIL import Image
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def test_crop():
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def crop(mode):
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out = lena(mode).crop((50, 50, 100, 100))
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assert_equal(out.mode, mode)
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assert_equal(out.size, (50, 50))
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for mode in "1", "P", "L", "RGB", "I", "F":
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yield_test(crop, mode)
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def test_wide_crop():
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def crop(*bbox):
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i = im.crop(bbox)
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h = i.histogram()
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while h and not h[-1]:
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del h[-1]
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return tuple(h)
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im = Image.new("L", (100, 100), 1)
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assert_equal(crop(0, 0, 100, 100), (0, 10000))
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assert_equal(crop(25, 25, 75, 75), (0, 2500))
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# sides
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assert_equal(crop(-25, 0, 25, 50), (1250, 1250))
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assert_equal(crop(0, -25, 50, 25), (1250, 1250))
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assert_equal(crop(75, 0, 125, 50), (1250, 1250))
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assert_equal(crop(0, 75, 50, 125), (1250, 1250))
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assert_equal(crop(-25, 25, 125, 75), (2500, 5000))
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assert_equal(crop(25, -25, 75, 125), (2500, 5000))
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# corners
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assert_equal(crop(-25, -25, 25, 25), (1875, 625))
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assert_equal(crop(75, -25, 125, 25), (1875, 625))
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assert_equal(crop(75, 75, 125, 125), (1875, 625))
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assert_equal(crop(-25, 75, 25, 125), (1875, 625))
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# --------------------------------------------------------------------
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def test_negative_crop():
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# Check negative crop size (@PIL171)
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im = Image.new("L", (512, 512))
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im = im.crop((400, 400, 200, 200))
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assert_equal(im.size, (0, 0))
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assert_equal(len(im.getdata()), 0)
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assert_exception(IndexError, lambda: im.getdata()[0])
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